k-matsushima/eval_pick_and_place_proposal_temp

该数据集是使用LeRobot工具创建的机器人学数据集，专门用于评估拾取和放置任务。数据集包含6个完整的情节（episodes），总计3646帧数据，覆盖1个任务。数据以Parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB，帧率为30fps。数据集的特征包括动作（6个关节位置：肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观测状态（与动作相同的关节位置）、来自前部和腕部摄像头的图像观测（分辨率480x640，3通道，视频编码为av1）、时间戳、帧索引、情节索引、总索引和任务索引。机器人类型为so_follower，数据分割为训练集（全部6个情节）。该数据集适用于机器人控制、模仿学习或强化学习的研究和应用。

This dataset is a robotics dataset created using the LeRobot tool, specifically designed for evaluating pick and place tasks. It contains 6 complete episodes, totaling 3646 frames, and covers 1 task. The data is stored in Parquet format, with a total data file size of 100MB and video file size of 200MB, at a frame rate of 30fps. The dataset features include actions (6 joint positions: shoulder pan, shoulder lift, elbow flex, wrist flex, wrist roll, and gripper position), observation states (same joint positions as actions), image observations from front and wrist cameras (resolution 480x640, 3 channels, video codec av1), timestamp, frame index, episode index, overall index, and task index. The robot type is so_follower, and the data split is for training (all 6 episodes). This dataset is suitable for research and applications in robot control, imitation learning, or reinforcement learning.